Antigranular’s Post

🌟 Meet our hackathon winners pt.5 🌟 What advice do they have for other data scientists and what motivated them to dive into responsible data science? We interviewed them to find out. Vansh Panwar is a Btech student at IIT Guwahati. He’s won the notebook prize at the Harvard OpenDP hackathon where he showcased various indexing & blocking methods in an organised way. 🔍 Motivation “When learning ML and its models, Differential Privacy seemed a crucial addition to my knowledge base, given its numerous applications, such as finance, transport, healthcare, and so on. Antigranular’s Private Python contest presented itself as the right opportunity to learn about DP and take the next step in data analysis.” 🤓 Approach “Starting off by identifying which data fields would be the most relevant and have the greatest impact on the linking, I set out to thoroughly clean the fields to gain such that the subsequent steps in my approach go smoothly. Comparison of the indexed database required a thorough knowledge of the various comparison rules, which ensured optimization of the final links.” 🔑 Advice “At times data analysis feels similar to hunting hidden patterns in nature; be it the golden ratio and Fibonacci sequence in the spirals of the world and the proportions of even humans. The euphoria in the ‘aha’ moment when you discover a pattern in nature, or a relation between multiple fields of data is an important feeling to remember when learning. You can check out his solution here: https://lnkd.in/dJarQQmW Want to get started with Eyes Off Data Science? Sign up to our platform: https://lnkd.in/deQ4XriY #DataScience #Privacy #Hackathon #EyesOffMyData

🎙️ Meet our DevFest 2023 KL Speaker ✨ New Teong Chuan - Senior Software Engineer GBG Topic: Loqate: Under the Hood of Location Intelligence Topic level: Beginner Technology: - Machine Learning / AI - Data Engineering Note: New will be doing a joint-talk with Veronica from GBG! Dive into the intricacies of "Loqate: Under the Hood of Location Intelligence" as we unravel Address Verification, exploring the overview and versatile capabilities within the Verify engine! 🌟 From decoding how user uses it to tackling diverse inputs, witness the engine's prowess in action. 🚀 We will then navigate through our journey from grappling with inefficiencies and numerous scripts to building tools that enhance our data process. Join us as we shed light on the practical steps taken to modernise data engineering, proving that progress lies not just in the grand, but in the meticulous and transformative. 🌐💡 It's a session that unveils the intricacies of our journey, offering a realistic perspective on improvement and modernisation in the tech realm. ✨ Want to learn more? RSVP here! (We just opened 15 EXTRA slots for tickets!) Link: devfest2023kl.peatix.com #MachineLearning #AI #DataEngineering #LocationIntelligence #DevFestKL23 #GDGKL #Google #GoogleDevelopers 

🚀 Get ready for the next Antigranular competition 🚀 Compete to build the most accurate machine learning models using TensorFlow, Opacus (PyTorch) or Diffprivlib libraries, directly integrated into our platform. You’ll build models that will help predict crucial health outcomes with differential privacy! 💪 We have a €4500 prize pool for this competition, including an all-expenses-paid trip to Boston (stay tuned for details), as well as special prizes ranging from €100 to €500, which are outside top submissions and accessible to beginners just starting with differential privacy. If you haven’t already, join the other 2000 data scientists who are using our platform to conduct privacy-first data science. Get started with one of our practice datasets before the competition kicks off next week: https://lnkd.in/deQ4XriY #DataScienceHackathon #ResponsibleAI #DifferentialPrivacy #Hackathon

📘 New Tutorial Notebook on Antigranular! Dive into the latest tutorial notebook created by our team featuring basic machine learning models with a focus on differential privacy using the Iris dataset! This is perfect for mastering techniques that are crucial for managing sensitive health data in the ongoing OpenDP Heart Disease Prediction hackathon. 🔗 Check out the notebook here: https://lnkd.in/dY4TREuc 💡 What's Inside? - Learn to Load & Preprocess Data: Get hands-on experience with the Iris dataset, known for its role in classification tasks. - Build & Train Neural Networks: Apply differential privacy techniques to enhance data security while training your model. - Evaluate Performance: Assess how well your model predicts iris flower types based on sepal and petal measurements. - Save & Reuse Models: Not just training, learn how to save and reload your model for future analysis. 🔐 Ready to apply what you learn and compete for our €4500 prize pool? Jump back into the hackathon and use your new skills to refine your submission. https://lnkd.in/gi_9Q5hE #HeartDiseaseHackathon #MachineLearning #DataPrivacy #EyesOffMyData

I'm glad to announce that I've started a new exciting journey with National Telecommunication Institute (NTI) , joining the Machine Learning For Data Analysis course at Creativa Hub Menofia 🌟 This is a significant step in my career, and I can't wait to dive into the world of AI and expand my skills in data science. 🙌🏻 I look forward to sharing more updates from this incredible learning experience! #MachineLearning #Creativa #AI #DataScience #DataAnalysis #NTI #careerdevelopment

Lecture 12 Completed! Today What we learned in this lecture: - API's - Sentiment Analysis Very thankful to Muhammad Irfan, Dr. Sheraz Naseer - (PhD Artificial Intelligence, Data Science) , Muhammad Haris Tariq, and thanks to the entire team at Xeven Solutions. Farhan Aslam is back .Winner's of Hackathon are announced. #artificialintelligence #machinelearning #deeplearningai #irfanmalik #xevensolutions #chatgpt #chatbot

🎉 Exciting News: Qualified GATE 2024 in Data Science & AI! 🚀 Delighted to share that I've achieved another milestone by qualifying GATE 2024 in Data Science & Artificial Intelligence, building on my success in GATE 2023 in Computer Science. Grateful for the opportunity to deepen my expertise in these cutting-edge fields. Thanks to everyone who supported me! 💡 #GATE2024 #DataScience #AI

🚀 Day 6 of the Pantech.AI 10 Days A.I & Data Science Intensive HACKATHON has been a game-changer! 🎉 Today marked a deep dive into the fascinating world of machine learning, where we explored the fundamentals of classification algorithms. 💡 Specifically, we delved into the K-Nearest Neighbors (KNN) algorithm, a powerful tool for pattern recognition and predictive modeling. With hands-on exercises and insightful discussions, we gained a deeper understanding of how KNN works and its applications in real-world scenarios. 🤖💼 From identifying patterns in datasets to making informed predictions, the potential of KNN is truly remarkable. Huge thanks to the Sanjay Kumar A P for yet another enriching session filled with knowledge and practical insights ,and also huge thanks to K Jeevarajan. 🙌 Each day brings new challenges and opportunities for growth, and I'm incredibly grateful to be part of this journey. As we continue to explore the vast landscape of machine learning, I'm excited to apply these newfound skills to tackle complex problems and drive innovation. Stay tuned for more updates as the HACKATHON progresses! 💻 #datascience #ai #hackathon #PanTechSolutions #machinelearning #knn #classification

Excited to share that we secured second place in the DATAQUEST2.0 Data Science and AI Hackathon! 🥈 Despite tough competition, my partner Ayoub Akremi and I showcased versatility and expertise across various challenges during the 17-hour competition. From developing LARMA, an educational app powered by graph databases and Large Action Models (LAM), to tackling tasks like predicting clothing prices, forecasting stock trends, and mastering computer vision, each problem pushed our limits. We're proud of our achievement and eager to continue exploring innovative solutions in data science and AI. 📊🖥 #DataScience #AI #HackathonSuccess

🔺 Getting it right with projects ! Most data science projects are aimed at helping you to find more meaning to learning just data science resources. From finding a project to completing it can be very daunting and almost impossible to finishing up. As part of my KaggleX BIPOC mentorship program, I decided to make a documentation of my project which was keen on "Building a machine learning model to predict the presence or absence of Chronic kidney disease in observed patients". This approximately a 3min read of the article which is available on Medium